A client growing rapidly with international ambitions developing multiple valuable products in the areas of supplier risk, customer risk, and third-party risk management are on a recruitment drive for a Data Scientist to apply data mining techniques and conduct statistical analysis to large, structured and unstructured data sets.
Responsibilities: Model complex business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques.
Execute intelligent automation and predictive modelling.Build machine learning models from and utilises distributed data processing and analysis methodologies.Competent in Machine Learning programming in R or Python, with supplementary still in Matlab, Java.Familiar with the Hadoop distributed computational platform, including broader ecosystem of tools such as HDFS / Spark / Kafka.Provide input into Data management and modelling infrastructure requirements and adhere to the organisations infrastructure development processes.Ensure business integration through integrating model outputs into end-point production systems, are understood and adopted relating to data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.Measure proficiency in using the diagramming and modelling techniques vital for requirements analyses.
Qualifications & Experience: Degree in Information Studies/Information TechnologyPost Graduate Degree in Information Studies/Information Technology5 - 7 years development experience in software and software engineering, financial services data processes, technical business intelligence.5 - 7 years experience of working with unstructured data (e.g., streams, images) Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.Experience with common data science toolkits, such as SAS, R, SPSS, etcKnowledge of IT infrastructure and data principles.
Project management experienceExperience with data visualisation tools, such as Power BI, Tableau, etc. The Reference Number for this position is NG58375 which is a Permanent Hybrid position in Johannesburg offering a salary of up to R750k R950k CTC salary negotiable based on experience.
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